Informatics and Econometrics: Big Data Analytics
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The specialization, realized fully in English, is focused mainly on methods of analysis of the massive datasets. Massive datasets analysis technologies — Big Data — acquaint students with technologies used for storing, processing and analyzing large data sets and with other quantitative methods of economic analysis, as well as related computer science tools and their practical application. The student will acquire practical skills in building analytical solutions on Big Data platforms. He will become familiar with distributed and parallel processing systems, and will be able to use basic tools to visualize large data sets. The specialization is focused on the use of high level programming languages, as well as database design and query programming. The graduate will be able to combine the available methods and tools into the computer analysis systems. Big Data specialization prepares future analysts of massive datasets that are stored in companies and economical institutions, such as banks, stock markets, telecommunications companies etc.
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Admissions Requirements
Applicants need a bachelor’s degree with a major in Engineering or in one of specializations: informatics and econometrics, informatics, economy, finance and accountancy, logistics.
Applicants from non-anglophone countries should provide proof of English proficiency.
Application deadline for non EU students is January 15.
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Warsaw
Poland
02-748
Poland
- 2 years
- Full Time
- On Campus Learning
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